Cybersec Toolkit
One command installs 580+ security tools on Linux & Termux; an authorization-gated MCP server picks tools and runs them with you — companion by default, an autonomous solver when you ask. Modular bash installer (18 modules, 14 profiles) + 870+ Claude Code skills for AI-assisted ethical hacking: CTF, pentest, bug bounty, DFIR, red & blue team.
Analyzing Email Headers For Phishing Investigation
Parse and analyze email headers to trace the origin of phishing emails, verify sender authenticity, and identify
Add Tool
Use when adding a new cybersecurity tool to this installer. Walks through editing the right module file, adding to tools_config.json, running validators, and syncing MCP server data if needed. Triggers on phrases like "add tool", "add <toolname>", "register a new tool", "include X in the installer".
Verify Changes
Verify code or configuration changes with focused tests, static checks, and diff inspection before reporting completion. Use after implementing or modifying a repository; do not use for read-only explanations or when no files changed.
Coding Style
Keep code comments and docstrings concise, neutral, and human-authored in tone. Use when writing, refactoring, or reviewing code where comments may be added or changed; do not use to shorten required public API documentation, safety notes, or legal notices.
Surgical Implementation
Make the smallest justified code or configuration change, surface material assumptions, avoid unrelated cleanup, and define verifiable success criteria. Use when implementing features, fixes, refactors, or configuration changes in an existing repository; do not use for read-only analysis or broad rewrites the user explicitly requested.
Simplify Code
Simplify recently changed or user-selected code while preserving observable behavior, public APIs, tests, and required safeguards. Use when asked to simplify, clean up, refactor for clarity, reduce nesting, remove duplication, or review an implementation for unnecessary complexity.
Ai Llm Security Review
Use for AI/LLM security assessments, prompt injection, RAG security, agent/tool permissioning, model supply chain, LLM red teaming, AI governance, eval design, data leakage, jailbreak testing, and secure AI application review.